Results 21 to 30 of about 652,316 (194)
Deep Learning in Proteomics [PDF]
PROTEOMICS, 2020 AbstractProteomics, the study of all the proteins in biological systems, is becoming a data‐rich science. Protein sequences and structures are comprehensively catalogued in online databases. With recent advancements in tandem mass spectrometry (MS) technology, protein expression and post‐translational modifications (PTMs) can be studied in a variety of
Bo Wen +6 more
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Approximations in Deep Learning
, 2022 Approximate Computing Techniques - From Component- to Application-Level, pp.467-512, 2022, 978-3-030-94704 ...
Dupuis, Etienne +5 more
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Question Classification in Question Answering System using Combination of Ensemble Classification and Feature Selection [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 A Question Answering System (QAS) is a special form of information retrieval which consists of three parts: question processing, information retrieval, and answer selection. Determining the type of question is the most important part of QAS as it affects
Sh. Golzari +4 more
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Deep learning in systems medicine [PDF]
Briefings in Bioinformatics, 2020 AbstractSystems medicine (SM) has emerged as a powerful tool for studying the human body at the systems level with the aim of improving our understanding, prevention and treatment of complex diseases. Being able to automatically extract relevant features needed for a given task from high-dimensional, heterogeneous data, deep learning (DL) holds great ...
Wang +27 more
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A Survey on Review Spam Detection Methods using Deep Learning Approach [PDF]
International Journal of Web Research, 2022 Review spam is an opinion written to promote or demote a product or brand on websites and other internet services by some users. Since it is not easy for humans to recognize these types of opinions, a model can be provided to detect them. In recent years,
Mahmoud Aliarab, Kazim Fouladi-Ghaleh
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Deep Learning Approaches Based on Transformer Architectures for Image Captioning Tasks
IEEE Access, 2022 This paper focuses on visual attention, a state-of-the-art approach for image captioning tasks within the computer vision research area. We study the impact that different hyperparemeter configurations on an encoder-decoder visual attention architecture ...
Roberto Castro +3 more
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ESANN 2021 proceedings, 2021 Deep learning for graphs encompasses all those neural models endowed with multiple layers of computation operating on data represented as graphs. The most common building blocks of these models are graph encoding layers, which compute a vector embedding for each node in a graph using message-passing operators.
Bacciu, Davide +3 more
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Generalizable and efficient cross‐domain person re‐identification model using deep metric learning
IET Computer Vision, 2023 Most of the successful person re‐ID models conduct supervised training and need a large number of training data. These models fail to generalise well on unseen unlabelled testing sets.
Saba Sadat Faghih Imani +2 more
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A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision
AI, 2021 In this paper, a deep learning enabled object detection model for multi-class plant disease has been proposed based on a state-of-the-art computer vision algorithm. While most existing models are limited to disease detection on a large scale, the current
Arunabha M. Roy, Jayabrata Bhaduri
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IEEE Access, 2020 A Steel Plate Rolling Mill (SPM) is a milling machine that uses rollers to press hot slab inputs to produce ferrous or non-ferrous metal plates. To produce high-quality steel plates, it is important to precisely detect and sense values of manufacturing ...
Cheol Young Park +3 more
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